Yuyu Wahyu

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About

Yuyu Wahyu is a researcher at the forefront of embedded artificial intelligence and computer vision, with a particular focus on real-time object detection and face recognition systems. His work centers on integrating AI capabilities into low-cost, accessible hardware platforms, making advanced image recognition technologies more widely deployable. His most cited paper, "Performance evaluation of ESP32 Camera Face Recognition for various projects" (2022, 16 citations), provides a critical benchmark for using the ESP32-CAM module in practical AI applications, comparing its performance against established frameworks like YOLO for real-time object detection. This contribution is especially valuable for researchers and hobbyists developing smart CCTV systems and robotic vision on a budget. By systematically evaluating the trade-offs between computational constraints and recognition accuracy, Wahyu has helped democratize access to face recognition technology. His work bridges the gap between high-end AI models and resource-limited edge devices, offering practical guidance for implementing Python-based image recognition in real-world projects. Through this research, Wahyu has established himself as a key voice in the growing field of embedded computer vision, enabling smarter, more accessible automation solutions.